Getting error while training my cascade classifier ?

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I am trying to build my cascade classifier that can detect an area of image basically i want to get eyes from a face image. For this i am using image labeling. i have both positive and negative folder with more than 10 images Error: The total number of samples (both positive and negative together) must be greater than 10. You should add more positive samples, or increase 'NegativeSamplesFactor', or both.
Error in trainCascadeObjectDetector (line 173) featureParams, totalPosInstances] = populateTrainCascadeParams(parser);
Error in cascade (line 28) trainCascadeObjectDetector('eyes.xml',positiveInstances, ...

Accepted Answer

Mabin Mariam Joseph
Mabin Mariam Joseph on 22 Aug 2017
From the error snapshots attached, I see that the positives and negatives directories are not what is being specified by the attached code.
In the code it is : your_matlabroot\toolbox\vision\visiondata\positives and your_matlabroot\toolbox\vision\visiondata\negatives respectively which is different from the directories seen in the error snapshots.
Try the code after pointing to the correct directories.

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